Overview

Dataset statistics

Number of variables25
Number of observations6807
Missing cells2471
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 MiB
Average record size in memory514.5 B

Variable types

Numeric17
Unsupported5
Text1
DateTime2

Alerts

item is highly overall correlated with activity_days and 2 other fieldsHigh correlation
review_count is highly overall correlated with item_user_heavy_ratio and 1 other fieldsHigh correlation
year is highly overall correlated with activity_days and 2 other fieldsHigh correlation
activity_span is highly overall correlated with item and 3 other fieldsHigh correlation
activity_days is highly overall correlated with item and 2 other fieldsHigh correlation
start_year is highly overall correlated with activity_days and 2 other fieldsHigh correlation
end_year is highly overall correlated with end_monthHigh correlation
end_month is highly overall correlated with end_yearHigh correlation
item_user_median_activity is highly overall correlated with item_user_heavy_ratio and 1 other fieldsHigh correlation
item_user_heavy_ratio is highly overall correlated with item_user_median_activity and 1 other fieldsHigh correlation
directors has 1304 (19.2%) missing valuesMissing
writers has 1159 (17.0%) missing valuesMissing
item has unique valuesUnique
genres is an unsupported type, check if it needs cleaning or further analysisUnsupported
directors is an unsupported type, check if it needs cleaning or further analysisUnsupported
writers is an unsupported type, check if it needs cleaning or further analysisUnsupported
activity_span is an unsupported type, check if it needs cleaning or further analysisUnsupported
genre_combo is an unsupported type, check if it needs cleaning or further analysisUnsupported
start_weekday has 1670 (24.5%) zerosZeros
start_hour has 277 (4.1%) zerosZeros
end_weekday has 1553 (22.8%) zerosZeros
end_hour has 308 (4.5%) zerosZeros
n_writers has 1159 (17.0%) zerosZeros
n_directors has 1304 (19.2%) zerosZeros

Reproduction

Analysis started2025-12-22 19:05:51.175519
Analysis finished2025-12-22 19:06:23.506012
Duration32.33 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

item
Real number (ℝ)

High correlation  Unique 

Distinct6807
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26626.948
Minimum1
Maximum119145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:23.593573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile556.6
Q13054.5
median6882
Q349823
95-th percentile94054.4
Maximum119145
Range119144
Interquartile range (IQR)46768.5

Descriptive statistics

Standard deviation32194.062
Coefficient of variation (CV)1.2090782
Kurtosis-0.11608162
Mean26626.948
Median Absolute Deviation (MAD)5608
Skewness1.1011684
Sum1.8124964 × 108
Variance1.0364577 × 109
MonotonicityStrictly increasing
2025-12-22T19:06:23.993395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1191451
 
< 0.1%
11
 
< 0.1%
21
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
71
 
< 0.1%
81
 
< 0.1%
91
 
< 0.1%
Other values (6797)6797
99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
1191451
< 0.1%
1191411
< 0.1%
1189971
< 0.1%
1189001
< 0.1%
1187001
< 0.1%
1186961
< 0.1%
1178811
< 0.1%
1175331
< 0.1%
1171761
< 0.1%
1168231
< 0.1%

review_count
Real number (ℝ)

High correlation 

Distinct1849
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.23094
Minimum27
Maximum19699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:24.132521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile52
Q190
median197
Q3610.5
95-th percentile3312.1
Maximum19699
Range19672
Interquartile range (IQR)520.5

Descriptive statistics

Standard deviation1682.9731
Coefficient of variation (CV)2.2225361
Kurtosis32.335437
Mean757.23094
Median Absolute Deviation (MAD)133
Skewness5.0438171
Sum5154471
Variance2832398.4
MonotonicityNot monotonic
2025-12-22T19:06:24.273721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5062
 
0.9%
5854
 
0.8%
5252
 
0.8%
5651
 
0.7%
4850
 
0.7%
5546
 
0.7%
5445
 
0.7%
5944
 
0.6%
4944
 
0.6%
5143
 
0.6%
Other values (1839)6316
92.8%
ValueCountFrequency (%)
271
 
< 0.1%
342
 
< 0.1%
361
 
< 0.1%
382
 
< 0.1%
393
 
< 0.1%
406
0.1%
418
0.1%
427
0.1%
438
0.1%
4412
0.2%
ValueCountFrequency (%)
196991
< 0.1%
184371
< 0.1%
182021
< 0.1%
181681
< 0.1%
173391
< 0.1%
172371
< 0.1%
166561
< 0.1%
163871
< 0.1%
158471
< 0.1%
152131
< 0.1%

genres
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size579.4 KiB

directors
Unsupported

Missing  Rejected  Unsupported 

Missing1304
Missing (%)19.2%
Memory size472.1 KiB

writers
Unsupported

Missing  Rejected  Unsupported 

Missing1159
Missing (%)17.0%
Memory size505.4 KiB

year
Real number (ℝ)

High correlation 

Distinct93
Distinct (%)1.4%
Missing8
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1992.1747
Minimum1922
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:24.413050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1922
5-th percentile1950
Q11985
median1999
Q32006
95-th percentile2012
Maximum2014
Range92
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.052568
Coefficient of variation (CV)0.0095637034
Kurtosis1.2781437
Mean1992.1747
Median Absolute Deviation (MAD)9
Skewness-1.3709319
Sum13544796
Variance363.00036
MonotonicityNot monotonic
2025-12-22T19:06:24.549203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2006284
 
4.2%
2007271
 
4.0%
2004262
 
3.8%
2005260
 
3.8%
2008256
 
3.8%
2009247
 
3.6%
2002242
 
3.6%
2003236
 
3.5%
2001222
 
3.3%
2010213
 
3.1%
Other values (83)4306
63.3%
ValueCountFrequency (%)
19223
 
< 0.1%
19232
 
< 0.1%
19245
0.1%
19256
0.1%
19262
 
< 0.1%
19275
0.1%
19286
0.1%
19295
0.1%
19304
 
0.1%
193110
0.1%
ValueCountFrequency (%)
201476
 
1.1%
2013134
2.0%
2012140
2.1%
2011185
2.7%
2010213
3.1%
2009247
3.6%
2008256
3.8%
2007271
4.0%
2006284
4.2%
2005260
3.8%

title
Text

Distinct6806
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size569.4 KiB
2025-12-22T19:06:24.808557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length134
Median length98
Mean length26.000588
Min length8

Characters and Unicode

Total characters176986
Distinct characters124
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6805 ?
Unique (%)> 99.9%

Sample

1st rowToy Story (1995)
2nd rowJumanji (1995)
3rd rowGrumpier Old Men (1995)
4th rowWaiting to Exhale (1995)
5th rowFather of the Bride Part II (1995)
ValueCountFrequency (%)
the2387
 
8.2%
of741
 
2.5%
a302
 
1.0%
2006284
 
1.0%
2007271
 
0.9%
and263
 
0.9%
2004262
 
0.9%
2005260
 
0.9%
2008256
 
0.9%
2009247
 
0.8%
Other values (7665)24006
82.0%
2025-12-22T19:06:25.222475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22475
 
12.7%
e12541
 
7.1%
a8163
 
4.6%
(7763
 
4.4%
)7763
 
4.4%
o7430
 
4.2%
n6984
 
3.9%
i6683
 
3.8%
r6587
 
3.7%
06492
 
3.7%
Other values (114)84105
47.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)176986
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
22475
 
12.7%
e12541
 
7.1%
a8163
 
4.6%
(7763
 
4.4%
)7763
 
4.4%
o7430
 
4.2%
n6984
 
3.9%
i6683
 
3.8%
r6587
 
3.7%
06492
 
3.7%
Other values (114)84105
47.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)176986
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
22475
 
12.7%
e12541
 
7.1%
a8163
 
4.6%
(7763
 
4.4%
)7763
 
4.4%
o7430
 
4.2%
n6984
 
3.9%
i6683
 
3.8%
r6587
 
3.7%
06492
 
3.7%
Other values (114)84105
47.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)176986
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
22475
 
12.7%
e12541
 
7.1%
a8163
 
4.6%
(7763
 
4.4%
)7763
 
4.4%
o7430
 
4.2%
n6984
 
3.9%
i6683
 
3.8%
r6587
 
3.7%
06492
 
3.7%
Other values (114)84105
47.5%
Distinct6796
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size53.3 KiB
Minimum2005-04-11 11:56:25
Maximum2015-01-03 05:32:06
Invalid dates0
Invalid dates (%)0.0%
2025-12-22T19:06:25.352803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:25.493738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct6787
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size53.3 KiB
Minimum2010-12-09 13:41:09
Maximum2015-03-31 05:50:52
Invalid dates0
Invalid dates (%)0.0%
2025-12-22T19:06:25.634884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:25.787074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

activity_span
Unsupported

High correlation  Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size53.3 KiB

activity_days
Real number (ℝ)

High correlation 

Distinct1941
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3043.4441
Minimum85
Maximum3640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:25.925123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile1031.3
Q12584.5
median3575
Q33631
95-th percentile3639
Maximum3640
Range3555
Interquartile range (IQR)1046.5

Descriptive statistics

Standard deviation886.97684
Coefficient of variation (CV)0.29143852
Kurtosis1.1088977
Mean3043.4441
Median Absolute Deviation (MAD)63
Skewness-1.4812014
Sum20716724
Variance786727.92
MonotonicityNot monotonic
2025-12-22T19:06:26.064481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3639267
 
3.9%
3637230
 
3.4%
3638227
 
3.3%
3640192
 
2.8%
3636175
 
2.6%
3632149
 
2.2%
3635134
 
2.0%
3633130
 
1.9%
3634125
 
1.8%
3631110
 
1.6%
Other values (1931)5068
74.5%
ValueCountFrequency (%)
851
< 0.1%
911
< 0.1%
931
< 0.1%
951
< 0.1%
1001
< 0.1%
1021
< 0.1%
1091
< 0.1%
1122
< 0.1%
1201
< 0.1%
1291
< 0.1%
ValueCountFrequency (%)
3640192
2.8%
3639267
3.9%
3638227
3.3%
3637230
3.4%
3636175
2.6%
3635134
2.0%
3634125
1.8%
3633130
1.9%
3632149
2.2%
3631110
1.6%

start_year
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.4147
Minimum2005
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:26.168065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2005
Q12005
median2005
Q32008
95-th percentile2012
Maximum2015
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3578059
Coefficient of variation (CV)0.0011751339
Kurtosis1.4053833
Mean2006.4147
Median Absolute Deviation (MAD)0
Skewness1.5795055
Sum13657665
Variance5.5592485
MonotonicityNot monotonic
2025-12-22T19:06:26.253066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20054481
65.8%
2008429
 
6.3%
2009390
 
5.7%
2006302
 
4.4%
2007299
 
4.4%
2010283
 
4.2%
2011227
 
3.3%
2012161
 
2.4%
2013137
 
2.0%
201497
 
1.4%
ValueCountFrequency (%)
20054481
65.8%
2006302
 
4.4%
2007299
 
4.4%
2008429
 
6.3%
2009390
 
5.7%
2010283
 
4.2%
2011227
 
3.3%
2012161
 
2.4%
2013137
 
2.0%
201497
 
1.4%
ValueCountFrequency (%)
20151
 
< 0.1%
201497
 
1.4%
2013137
 
2.0%
2012161
 
2.4%
2011227
3.3%
2010283
4.2%
2009390
5.7%
2008429
6.3%
2007299
4.4%
2006302
4.4%

start_month
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0832966
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:26.336306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5059955
Coefficient of variation (CV)0.49298628
Kurtosis1.1514156
Mean5.0832966
Median Absolute Deviation (MAD)0
Skewness1.3554296
Sum34602
Variance6.2800133
MonotonicityNot monotonic
2025-12-22T19:06:26.423095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
44006
58.9%
5534
 
7.8%
6276
 
4.1%
11255
 
3.7%
10254
 
3.7%
1241
 
3.5%
7218
 
3.2%
12215
 
3.2%
9211
 
3.1%
8210
 
3.1%
Other values (2)387
 
5.7%
ValueCountFrequency (%)
1241
 
3.5%
2180
 
2.6%
3207
 
3.0%
44006
58.9%
5534
 
7.8%
6276
 
4.1%
7218
 
3.2%
8210
 
3.1%
9211
 
3.1%
10254
 
3.7%
ValueCountFrequency (%)
12215
 
3.2%
11255
 
3.7%
10254
 
3.7%
9211
 
3.1%
8210
 
3.1%
7218
 
3.2%
6276
 
4.1%
5534
 
7.8%
44006
58.9%
3207
 
3.0%

start_weekday
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3246658
Minimum0
Maximum6
Zeros1670
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:26.500152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9386903
Coefficient of variation (CV)0.83396519
Kurtosis-1.0516509
Mean2.3246658
Median Absolute Deviation (MAD)2
Skewness0.38000105
Sum15824
Variance3.7585202
MonotonicityNot monotonic
2025-12-22T19:06:26.586002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
01670
24.5%
11126
16.5%
21046
15.4%
3923
13.6%
4901
13.2%
5613
 
9.0%
6528
 
7.8%
ValueCountFrequency (%)
01670
24.5%
11126
16.5%
21046
15.4%
3923
13.6%
4901
13.2%
5613
 
9.0%
6528
 
7.8%
ValueCountFrequency (%)
6528
 
7.8%
5613
 
9.0%
4901
13.2%
3923
13.6%
21046
15.4%
11126
16.5%
01670
24.5%

start_hour
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.372851
Minimum0
Maximum23
Zeros277
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:26.682478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median14
Q319
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7.2274018
Coefficient of variation (CV)0.58413389
Kurtosis-1.3091039
Mean12.372851
Median Absolute Deviation (MAD)6
Skewness-0.22460993
Sum84222
Variance52.235337
MonotonicityNot monotonic
2025-12-22T19:06:26.781976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
21425
 
6.2%
16424
 
6.2%
18392
 
5.8%
20360
 
5.3%
15356
 
5.2%
23347
 
5.1%
14327
 
4.8%
2323
 
4.7%
19320
 
4.7%
17311
 
4.6%
Other values (14)3222
47.3%
ValueCountFrequency (%)
0277
4.1%
1257
3.8%
2323
4.7%
3285
4.2%
4279
4.1%
5288
4.2%
6259
3.8%
7208
3.1%
8251
3.7%
9174
2.6%
ValueCountFrequency (%)
23347
5.1%
22289
4.2%
21425
6.2%
20360
5.3%
19320
4.7%
18392
5.8%
17311
4.6%
16424
6.2%
15356
5.2%
14327
4.8%

end_year
Real number (ℝ)

High correlation 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.8781
Minimum2010
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:26.867559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2014
Q12015
median2015
Q32015
95-th percentile2015
Maximum2015
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39516535
Coefficient of variation (CV)0.0001961237
Kurtosis19.852534
Mean2014.8781
Median Absolute Deviation (MAD)0
Skewness-3.9367959
Sum13715275
Variance0.15615565
MonotonicityNot monotonic
2025-12-22T19:06:26.953398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20156114
89.8%
2014580
 
8.5%
201394
 
1.4%
201215
 
0.2%
20113
 
< 0.1%
20101
 
< 0.1%
ValueCountFrequency (%)
20101
 
< 0.1%
20113
 
< 0.1%
201215
 
0.2%
201394
 
1.4%
2014580
 
8.5%
20156114
89.8%
ValueCountFrequency (%)
20156114
89.8%
2014580
 
8.5%
201394
 
1.4%
201215
 
0.2%
20113
 
< 0.1%
20101
 
< 0.1%

end_month
Real number (ℝ)

High correlation 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3261349
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:27.041715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2485827
Coefficient of variation (CV)0.67603473
Kurtosis7.4547036
Mean3.3261349
Median Absolute Deviation (MAD)0
Skewness2.8111663
Sum22641
Variance5.0561241
MonotonicityNot monotonic
2025-12-22T19:06:27.127777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
34721
69.4%
2921
 
13.5%
1540
 
7.9%
12187
 
2.7%
11156
 
2.3%
1061
 
0.9%
754
 
0.8%
946
 
0.7%
840
 
0.6%
632
 
0.5%
Other values (2)49
 
0.7%
ValueCountFrequency (%)
1540
 
7.9%
2921
 
13.5%
34721
69.4%
423
 
0.3%
526
 
0.4%
632
 
0.5%
754
 
0.8%
840
 
0.6%
946
 
0.7%
1061
 
0.9%
ValueCountFrequency (%)
12187
 
2.7%
11156
 
2.3%
1061
 
0.9%
946
 
0.7%
840
 
0.6%
754
 
0.8%
632
 
0.5%
526
 
0.4%
423
 
0.3%
34721
69.4%

end_weekday
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1355957
Minimum0
Maximum6
Zeros1553
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:27.206567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.3388981
Coefficient of variation (CV)0.74591827
Kurtosis-1.5599335
Mean3.1355957
Median Absolute Deviation (MAD)2
Skewness-0.11242667
Sum21344
Variance5.4704445
MonotonicityNot monotonic
2025-12-22T19:06:27.291356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
61705
25.0%
01553
22.8%
5908
13.3%
1774
11.4%
4753
11.1%
3560
 
8.2%
2554
 
8.1%
ValueCountFrequency (%)
01553
22.8%
1774
11.4%
2554
 
8.1%
3560
 
8.2%
4753
11.1%
5908
13.3%
61705
25.0%
ValueCountFrequency (%)
61705
25.0%
5908
13.3%
4753
11.1%
3560
 
8.2%
2554
 
8.1%
1774
11.4%
01553
22.8%

end_hour
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.132364
Minimum0
Maximum23
Zeros308
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size26.7 KiB
2025-12-22T19:06:27.389958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median15
Q319
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.5027054
Coefficient of variation (CV)0.57131416
Kurtosis-1.2862835
Mean13.132364
Median Absolute Deviation (MAD)6
Skewness-0.3775747
Sum89392
Variance56.290588
MonotonicityNot monotonic
2025-12-22T19:06:27.492433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19619
 
9.1%
23463
 
6.8%
18446
 
6.6%
21421
 
6.2%
22419
 
6.2%
20387
 
5.7%
1337
 
5.0%
17322
 
4.7%
0308
 
4.5%
16276
 
4.1%
Other values (14)2809
41.3%
ValueCountFrequency (%)
0308
4.5%
1337
5.0%
2237
3.5%
3256
3.8%
4239
3.5%
5190
2.8%
6246
3.6%
7239
3.5%
8139
2.0%
9132
 
1.9%
ValueCountFrequency (%)
23463
6.8%
22419
6.2%
21421
6.2%
20387
5.7%
19619
9.1%
18446
6.6%
17322
4.7%
16276
4.1%
15257
3.8%
14135
 
2.0%

item_user_median_activity
Real number (ℝ)

High correlation 

Distinct770
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.11936
Minimum127
Maximum721.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:27.610608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum127
5-th percentile199
Q1256
median305
Q3373.5
95-th percentile468
Maximum721.5
Range594.5
Interquartile range (IQR)117.5

Descriptive statistics

Standard deviation83.303291
Coefficient of variation (CV)0.26268749
Kurtosis0.39401951
Mean317.11936
Median Absolute Deviation (MAD)56
Skewness0.62764842
Sum2158631.5
Variance6939.4383
MonotonicityNot monotonic
2025-12-22T19:06:28.001885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27041
 
0.6%
27540
 
0.6%
25340
 
0.6%
26540
 
0.6%
26037
 
0.5%
27936
 
0.5%
35436
 
0.5%
27135
 
0.5%
24635
 
0.5%
25835
 
0.5%
Other values (760)6432
94.5%
ValueCountFrequency (%)
1271
 
< 0.1%
1301
 
< 0.1%
1321
 
< 0.1%
1341
 
< 0.1%
1352
 
< 0.1%
1371
 
< 0.1%
1382
 
< 0.1%
1392
 
< 0.1%
1401
 
< 0.1%
1435
0.1%
ValueCountFrequency (%)
721.51
< 0.1%
708.51
< 0.1%
6701
< 0.1%
6481
< 0.1%
6451
< 0.1%
634.51
< 0.1%
629.51
< 0.1%
6291
< 0.1%
6261
< 0.1%
624.51
< 0.1%

item_user_heavy_ratio
Real number (ℝ)

High correlation 

Distinct4644
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46294929
Minimum0.1261993
Maximum0.90384615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:28.135233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1261993
5-th percentile0.26793334
Q10.37662338
median0.45849802
Q30.55
95-th percentile0.66418033
Maximum0.90384615
Range0.77764685
Interquartile range (IQR)0.17337662

Descriptive statistics

Standard deviation0.12054376
Coefficient of variation (CV)0.26038222
Kurtosis-0.30902095
Mean0.46294929
Median Absolute Deviation (MAD)0.085805774
Skewness0.048192934
Sum3151.2958
Variance0.014530799
MonotonicityNot monotonic
2025-12-22T19:06:28.280796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.578
 
1.1%
0.571428571432
 
0.5%
0.425
 
0.4%
0.666666666725
 
0.4%
0.333333333321
 
0.3%
0.428571428620
 
0.3%
0.619
 
0.3%
0.555555555618
 
0.3%
0.461538461517
 
0.2%
0.583333333316
 
0.2%
Other values (4634)6536
96.0%
ValueCountFrequency (%)
0.12619929951
< 0.1%
0.12995606661
< 0.1%
0.13328334971
< 0.1%
0.13399626411
< 0.1%
0.13485248791
< 0.1%
0.1354644081
< 0.1%
0.13652737751
< 0.1%
0.13852444011
< 0.1%
0.14559915861
< 0.1%
0.1462096911
< 0.1%
ValueCountFrequency (%)
0.90384615381
< 0.1%
0.841
< 0.1%
0.821
< 0.1%
0.81666666671
< 0.1%
0.81428571431
< 0.1%
0.81251
< 0.1%
0.80769230772
< 0.1%
0.80645161291
< 0.1%
0.80392156861
< 0.1%
0.81
< 0.1%

n_genres
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3406787
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:28.391677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1140493
Coefficient of variation (CV)0.47595139
Kurtosis0.50515521
Mean2.3406787
Median Absolute Deviation (MAD)1
Skewness0.71163399
Sum15933
Variance1.2411058
MonotonicityNot monotonic
2025-12-22T19:06:28.471783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
22280
33.5%
31786
26.2%
11756
25.8%
4726
 
10.7%
5212
 
3.1%
638
 
0.6%
77
 
0.1%
81
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
11756
25.8%
22280
33.5%
31786
26.2%
4726
 
10.7%
5212
 
3.1%
638
 
0.6%
77
 
0.1%
81
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
81
 
< 0.1%
77
 
0.1%
638
 
0.6%
5212
 
3.1%
4726
 
10.7%
31786
26.2%
22280
33.5%
11756
25.8%

n_writers
Real number (ℝ)

Zeros 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6609373
Minimum0
Maximum24
Zeros1159
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:28.559764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5973385
Coefficient of variation (CV)0.96170912
Kurtosis31.058741
Mean1.6609373
Median Absolute Deviation (MAD)1
Skewness3.6935449
Sum11306
Variance2.5514903
MonotonicityNot monotonic
2025-12-22T19:06:28.658955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12660
39.1%
21681
24.7%
01159
17.0%
3699
 
10.3%
4323
 
4.7%
5137
 
2.0%
667
 
1.0%
726
 
0.4%
817
 
0.2%
911
 
0.2%
Other values (11)27
 
0.4%
ValueCountFrequency (%)
01159
17.0%
12660
39.1%
21681
24.7%
3699
 
10.3%
4323
 
4.7%
5137
 
2.0%
667
 
1.0%
726
 
0.4%
817
 
0.2%
911
 
0.2%
ValueCountFrequency (%)
241
 
< 0.1%
231
 
< 0.1%
212
< 0.1%
192
< 0.1%
182
< 0.1%
171
 
< 0.1%
163
< 0.1%
151
 
< 0.1%
122
< 0.1%
114
0.1%

n_directors
Real number (ℝ)

Zeros 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86748935
Minimum0
Maximum14
Zeros1304
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-12-22T19:06:28.741572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.56653612
Coefficient of variation (CV)0.65307559
Kurtosis68.127255
Mean0.86748935
Median Absolute Deviation (MAD)0
Skewness3.9816966
Sum5905
Variance0.32096318
MonotonicityNot monotonic
2025-12-22T19:06:28.832661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15220
76.7%
01304
 
19.2%
2225
 
3.3%
337
 
0.5%
48
 
0.1%
64
 
0.1%
73
 
< 0.1%
53
 
< 0.1%
101
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
01304
 
19.2%
15220
76.7%
2225
 
3.3%
337
 
0.5%
48
 
0.1%
53
 
< 0.1%
64
 
0.1%
73
 
< 0.1%
81
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
141
 
< 0.1%
101
 
< 0.1%
81
 
< 0.1%
73
 
< 0.1%
64
 
0.1%
53
 
< 0.1%
48
 
0.1%
337
 
0.5%
2225
 
3.3%
15220
76.7%

genre_combo
Unsupported

Rejected  Unsupported 

Missing0
Missing (%)0.0%
Memory size443.7 KiB

Interactions

2025-12-22T19:06:21.219544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:53.089463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:54.836459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:56.902965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:58.501162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:00.257949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:02.135077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:03.776480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:05.427674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:07.250461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:08.892783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:10.505264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:12.418348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:13.991141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:15.967033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:17.774728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:19.339000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:21.323159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:53.194606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:54.945439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:57.000844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:58.606546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:00.354431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:02.231712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:03.874388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:05.522271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:07.348423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:08.989153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:10.863437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:12.511906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:14.095967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:16.076834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:17.869206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:19.436827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:21.432484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:53.307620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:55.056789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:57.106941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:58.717202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:00.458792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:02.336224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:03.981084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:05.874736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:07.454711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:09.093174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:10.970386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:12.613085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:14.205377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:16.194599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:17.970912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:19.541296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:21.529477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:53.409389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:55.161019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-22T19:06:22.730138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:54.626238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:56.688759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:58.312065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:00.048325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:01.947465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:03.587321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:05.233752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:07.066707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:08.699879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:10.314871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:12.223868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:13.807659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:15.762589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:17.562195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:19.151490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:21.030801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:22.829443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:54.731006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:56.793314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:05:58.403716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:00.150697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:02.038077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:03.679061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:05.327116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:07.154398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:08.793080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:10.408755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:12.317834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:13.896569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:15.861361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:17.666274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:19.242007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-22T19:06:21.122530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-12-22T19:06:28.941189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
itemreview_countyearactivity_spanactivity_daysstart_yearstart_monthstart_weekdaystart_hourend_yearend_monthend_weekdayend_houritem_user_median_activityitem_user_heavy_ration_genresn_writersn_directors
item1.000-0.1320.512-0.943-0.9430.9400.4470.259-0.0050.065-0.039-0.0050.0300.1430.1850.044-0.079-0.093
review_count-0.1321.0000.0390.1540.154-0.134-0.049-0.2380.0790.124-0.061-0.2210.123-0.466-0.5590.1620.1490.144
year0.5120.0391.000-0.449-0.4490.4520.2240.0870.0120.085-0.070-0.0100.084-0.188-0.1500.058-0.158-0.115
activity_span-0.9430.154-0.4491.0001.000-0.989-0.401-0.2310.0050.033-0.0050.002-0.020-0.203-0.247-0.0220.0780.094
activity_days-0.9430.154-0.4491.0001.000-0.989-0.401-0.2310.0060.033-0.0050.002-0.020-0.204-0.247-0.0220.0780.094
start_year0.940-0.1340.452-0.989-0.9891.0000.3250.214-0.0010.076-0.0410.0010.0260.1800.2240.032-0.067-0.086
start_month0.447-0.0490.224-0.401-0.4010.3251.0000.1860.0110.007-0.008-0.0360.0160.0550.0670.027-0.026-0.023
start_weekday0.259-0.2380.087-0.231-0.2310.2140.1861.000-0.071-0.0500.0320.034-0.0130.1640.193-0.016-0.060-0.053
start_hour-0.0050.0790.0120.0050.006-0.0010.011-0.0711.0000.032-0.002-0.0250.010-0.059-0.0690.0170.0070.010
end_year0.0650.1240.0850.0330.0330.0760.007-0.0500.0321.000-0.7470.0010.057-0.171-0.1610.0870.0650.066
end_month-0.039-0.061-0.070-0.005-0.005-0.041-0.0080.032-0.002-0.7471.0000.003-0.0500.0930.081-0.048-0.026-0.038
end_weekday-0.005-0.221-0.0100.0020.0020.001-0.0360.034-0.0250.0010.0031.000-0.0110.1140.136-0.042-0.035-0.054
end_hour0.0300.1230.084-0.020-0.0200.0260.016-0.0130.0100.057-0.050-0.0111.000-0.113-0.1200.0340.0470.030
item_user_median_activity0.143-0.466-0.188-0.203-0.2040.1800.0550.164-0.059-0.1710.0930.114-0.1131.0000.967-0.162-0.127-0.059
item_user_heavy_ratio0.185-0.559-0.150-0.247-0.2470.2240.0670.193-0.069-0.1610.0810.136-0.1200.9671.000-0.168-0.151-0.083
n_genres0.0440.1620.058-0.022-0.0220.0320.027-0.0160.0170.087-0.048-0.0420.034-0.162-0.1681.0000.2250.102
n_writers-0.0790.149-0.1580.0780.078-0.067-0.026-0.0600.0070.065-0.026-0.0350.047-0.127-0.1510.2251.0000.357
n_directors-0.0930.144-0.1150.0940.094-0.086-0.023-0.0530.0100.066-0.038-0.0540.030-0.059-0.0830.1020.3571.000
2025-12-22T19:06:29.159478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
itemreview_countyearactivity_spanactivity_daysstart_yearstart_monthstart_weekdaystart_hourend_yearend_monthend_weekdayend_houritem_user_median_activityitem_user_heavy_ration_genresn_writersn_directors
item1.000-0.2230.677-0.791-0.7910.8280.3480.2750.001-0.0030.0030.0020.0110.1840.1990.036-0.128-0.139
review_count-0.2231.000-0.0140.4930.493-0.186-0.109-0.2360.0640.3680.120-0.1270.105-0.602-0.6210.2140.2150.243
year0.677-0.0141.000-0.573-0.5730.6870.2720.1690.0060.1120.018-0.0050.081-0.064-0.0500.059-0.166-0.124
activity_span-0.7910.493-0.5731.0001.000-0.841-0.381-0.3560.0190.2060.046-0.0420.032-0.375-0.3970.0400.1760.188
activity_days-0.7910.493-0.5731.0001.000-0.841-0.381-0.3560.0200.2060.046-0.0410.032-0.375-0.3970.0400.1760.188
start_year0.828-0.1860.687-0.841-0.8411.0000.2900.2350.0110.0500.0170.0060.0310.1760.1960.047-0.110-0.125
start_month0.348-0.1090.272-0.381-0.3810.2901.0000.2030.008-0.0230.013-0.0230.0120.0690.0770.008-0.033-0.036
start_weekday0.275-0.2360.169-0.356-0.3560.2350.2031.000-0.064-0.060-0.0120.039-0.0210.1780.190-0.017-0.059-0.061
start_hour0.0010.0640.0060.0190.0200.0110.008-0.0641.0000.0230.007-0.0220.005-0.050-0.0530.0140.0030.007
end_year-0.0030.3680.1120.2060.2060.050-0.023-0.0600.0231.000-0.5520.0010.065-0.183-0.1810.0910.0790.087
end_month0.0030.1200.0180.0460.0460.0170.013-0.0120.007-0.5521.0000.009-0.008-0.115-0.1180.0360.0540.031
end_weekday0.002-0.127-0.005-0.042-0.0410.006-0.0230.039-0.0220.0010.0091.0000.0030.1110.114-0.039-0.042-0.050
end_hour0.0110.1050.0810.0320.0320.0310.012-0.0210.0050.065-0.0080.0031.000-0.109-0.1110.0250.0360.033
item_user_median_activity0.184-0.602-0.064-0.375-0.3750.1760.0690.178-0.050-0.183-0.1150.111-0.1091.0000.986-0.160-0.140-0.065
item_user_heavy_ratio0.199-0.621-0.050-0.397-0.3970.1960.0770.190-0.053-0.181-0.1180.114-0.1110.9861.000-0.162-0.148-0.074
n_genres0.0360.2140.0590.0400.0400.0470.008-0.0170.0140.0910.036-0.0390.025-0.160-0.1621.0000.1970.098
n_writers-0.1280.215-0.1660.1760.176-0.110-0.033-0.0590.0030.0790.054-0.0420.036-0.140-0.1480.1971.0000.343
n_directors-0.1390.243-0.1240.1880.188-0.125-0.036-0.0610.0070.0870.031-0.0500.033-0.065-0.0740.0980.3431.000
2025-12-22T19:06:29.375225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
activity_daysend_hourend_monthend_weekdayend_yearitemitem_user_heavy_ratioitem_user_median_activityn_directorsn_genresn_writersreview_countstart_hourstart_monthstart_weekdaystart_yearyear
activity_days1.0000.0320.046-0.0410.206-0.791-0.397-0.3750.1880.0400.1760.4930.020-0.381-0.356-0.841-0.573
end_hour0.0321.000-0.0080.0030.0650.011-0.111-0.1090.0330.0250.0360.1050.0050.012-0.0210.0310.081
end_month0.046-0.0081.0000.009-0.5520.003-0.118-0.1150.0310.0360.0540.1200.0070.013-0.0120.0170.018
end_weekday-0.0410.0030.0091.0000.0010.0020.1140.111-0.050-0.039-0.042-0.127-0.022-0.0230.0390.006-0.005
end_year0.2060.065-0.5520.0011.000-0.003-0.181-0.1830.0870.0910.0790.3680.023-0.023-0.0600.0500.112
item-0.7910.0110.0030.002-0.0031.0000.1990.184-0.1390.036-0.128-0.2230.0010.3480.2750.8280.677
item_user_heavy_ratio-0.397-0.111-0.1180.114-0.1810.1991.0000.986-0.074-0.162-0.148-0.621-0.0530.0770.1900.196-0.050
item_user_median_activity-0.375-0.109-0.1150.111-0.1830.1840.9861.000-0.065-0.160-0.140-0.602-0.0500.0690.1780.176-0.064
n_directors0.1880.0330.031-0.0500.087-0.139-0.074-0.0651.0000.0980.3430.2430.007-0.036-0.061-0.125-0.124
n_genres0.0400.0250.036-0.0390.0910.036-0.162-0.1600.0981.0000.1970.2140.0140.008-0.0170.0470.059
n_writers0.1760.0360.054-0.0420.079-0.128-0.148-0.1400.3430.1971.0000.2150.003-0.033-0.059-0.110-0.166
review_count0.4930.1050.120-0.1270.368-0.223-0.621-0.6020.2430.2140.2151.0000.064-0.109-0.236-0.186-0.014
start_hour0.0200.0050.007-0.0220.0230.001-0.053-0.0500.0070.0140.0030.0641.0000.008-0.0640.0110.006
start_month-0.3810.0120.013-0.023-0.0230.3480.0770.069-0.0360.008-0.033-0.1090.0081.0000.2030.2900.272
start_weekday-0.356-0.021-0.0120.039-0.0600.2750.1900.178-0.061-0.017-0.059-0.236-0.0640.2031.0000.2350.169
start_year-0.8410.0310.0170.0060.0500.8280.1960.176-0.1250.047-0.110-0.1860.0110.2900.2351.0000.687
year-0.5730.0810.018-0.0050.1120.677-0.050-0.064-0.1240.059-0.166-0.0140.0060.2720.1690.6871.000

Missing values

2025-12-22T19:06:23.024974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-12-22T19:06:23.247103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-12-22T19:06:23.436929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

itemreview_countgenresdirectorswritersyeartitlestart_datetimeend_datetimeactivity_spanactivity_daysstart_yearstart_monthstart_weekdaystart_hourend_yearend_monthend_weekdayend_houritem_user_median_activityitem_user_heavy_ration_genresn_writersn_directorsgenre_combo
0112217[Adventure, Animation, Children, Comedy, Fantasy][nm0005124][nm0004056, nm0005124, nm0169505, nm0230032, nm0710020, nm0812513, nm0923736]1995.0Toy Story (1995)2005-04-11 12:41:272015-03-30 19:57:573640 days 07:16:3036402005401220153019157.00.166244571(Adventure, Animation, Children, Comedy, Fantasy)
123364[Adventure, Children, Fantasy][nm0002653][nm0378144, nm0852430, nm0885575]1995.0Jumanji (1995)2005-04-13 07:34:582015-03-30 12:31:073638 days 04:56:093638200542720153012216.50.263080331(Adventure, Children, Fantasy)
23734[Comedy, Romance][nm0222043][nm0425756]1995.0Grumpier Old Men (1995)2005-04-11 17:55:492015-03-26 18:25:063636 days 00:29:1736362005401720153318282.00.388283211(Comedy, Romance)
3443[Comedy, Drama, Romance][nm0001845][nm0060103]1995.0Waiting to Exhale (1995)2005-05-09 10:54:422015-03-22 21:45:093604 days 10:50:2736042005501020153621376.00.581395311(Comedy, Drama, Romance)
45590[Comedy][nm0796124][nm0329304, nm0352443, nm0583600, nm0796124]1995.0Father of the Bride Part II (1995)2005-04-13 16:16:132015-03-22 21:52:023630 days 05:35:4936302005421620153621240.00.335593141(Comedy,)
565124[Action, Crime, Thriller][nm0000520][nm0000520]1995.0Heat (1995)2005-04-12 05:22:292015-03-30 19:25:463639 days 14:03:173639200541520153019217.00.274980311(Action, Crime, Thriller)
67799[Comedy, Romance][nm0001628][nm0000697, nm0070660, nm0499626, nm0713128, nm0853138]1995.0Sabrina (1995)2005-04-12 20:51:482015-03-28 04:29:483636 days 07:38:003636200541202015354239.00.336671251(Comedy, Romance)
7848[Adventure, Children][nm0382072][nm0521739, nm0814085, nm0878494]1995.0Tom and Huck (1995)2005-04-19 17:02:432015-03-01 17:00:553602 days 23:58:1236022005411720153617355.00.541667231(Adventure, Children)
8966[Action][nm0001382][nm0704164]1995.0Sudden Death (1995)2005-04-19 00:19:142014-12-29 15:48:413541 days 15:29:2735412005410201412015434.00.606061111(Action,)
9104286[Action, Adventure, Thriller][nm0132709][nm0001220, nm0128997, nm0270761, nm0289833]1995.0GoldenEye (1995)2005-04-11 13:47:252015-03-30 00:21:393639 days 10:34:143639200540132015300201.00.250583341(Action, Adventure, Thriller)
itemreview_countgenresdirectorswritersyeartitlestart_datetimeend_datetimeactivity_spanactivity_daysstart_yearstart_monthstart_weekdaystart_hourend_yearend_monthend_weekdayend_houritem_user_median_activityitem_user_heavy_ration_genresn_writersn_directorsgenre_combo
6797116823276[Adventure, Sci-Fi, Thriller][nm1349376][nm0185976, nm0834960, nm1056741]2014.0The Hunger Games: Mockingjay - Part 1 (2014)2014-11-13 21:41:342015-03-30 18:14:30136 days 20:32:5613620141132120153018243.00.398551331(Adventure, Sci-Fi, Thriller)
6798117176188[Drama, Romance][nm1016428]NaN2014.0Theory of Everything, The (2014)2014-11-19 00:10:402015-03-30 18:18:10131 days 18:07:301312014112020153018323.00.478723201(Drama, Romance)
679911753344[Documentary]NaNNaN2014.0Citizenfour (2014)2014-11-27 14:40:192015-03-27 16:30:49120 days 01:50:3012020141131420153416248.00.409091100(Documentary,)
680011788138[Drama][nm0322144, nm0922903][nm0322144, nm0922903]2014.0Still Alice (2014)2014-12-05 14:57:052015-03-27 16:48:43112 days 01:51:3811220141241420153416388.50.526316122(Drama,)
6801118696232[Adventure, Fantasy][nm0001392][nm0001392, nm0101991, nm0866058, nm0868219, nm0909638]2014.0The Hobbit: The Battle of the Five Armies (2014)2014-12-10 20:00:392015-03-29 22:48:33109 days 02:47:5410920141222020153622309.00.465517251(Adventure, Fantasy)
680211870054[Drama]NaNNaN2014.0Selma (2014)2015-01-03 05:32:062015-03-29 19:32:3085 days 14:00:2485201515520153619430.50.629630100(Drama,)
680311890060[Drama][nm0885249][nm0394984]2014.0Wild (2014)2014-12-15 12:46:262015-03-28 09:46:33102 days 21:00:071022014120122015359492.00.683333111(Drama,)
680411899752[Children, Comedy, Fantasy, Musical][nm0551128][nm0487567]2014.0Into the Woods (2014)2014-12-26 01:10:342015-03-27 15:34:3491 days 14:24:00912014124120153415396.00.596154411(Children, Comedy, Fantasy, Musical)
6805119141122[Action, Comedy][nm0736622, nm1698571][nm0736622, nm1698571]2014.0The Interview (2014)2014-12-25 00:22:552015-03-30 03:46:0895 days 03:23:1395201412302015303336.50.500000222(Action, Comedy)
680611914578[Action, Adventure, Comedy, Crime][nm0891216][nm0891216, nm0963359, nm1733301, nm2092839]NaNKingsman: The Secret Service (2015)2014-12-19 21:02:552015-03-30 19:58:21100 days 22:55:2610020141242120153019349.00.551282441(Action, Adventure, Comedy, Crime)